From 0847d9864fad98573588711254207270de53588a Mon Sep 17 00:00:00 2001
From: AtlasWang <masterwant@gmail.com>
Date: Thu, 15 Aug 2024 20:50:56 -0400
Subject: [PATCH] new

---
 index.html       | 1 +
 publication.html | 1 +
 2 files changed, 2 insertions(+)

diff --git a/index.html b/index.html
index f8e1cab..c5ff157 100644
--- a/index.html
+++ b/index.html
@@ -182,6 +182,7 @@ <h2>News</h2>
                     <b style="color:rgb(68, 68, 68)">[Aug. 2024]</b>
                         <ul style="margin-bottom:5px">
                             <li> Dr. Wang is grateful to receive the <a href="https://h2o.ai/ai-100/winners/">AI 100: The Top AI Thought Leaders</a> award, presented by H2O.ai</a> </li>
+                            <li> 1 JMLR (pruning provably improves generalization) accepted</li> 
                             <li> 1 JMLR (tighter theoretical analysis of sparse activation) accepted</li> 
                             <li> VITA welcomes three new Ph.D. students: Junbo Li, Yuehao Wang, and Kevin Wang</a> </li>
                         </ul>
diff --git a/publication.html b/publication.html
index ae50f98..bdfb718 100644
--- a/publication.html
+++ b/publication.html
@@ -159,6 +159,7 @@ <h2>Journal Paper</h2>
                 <div class="trend-entry d-flex">
                     <div class="trend-contents">
                         <ul>
+                            <li> H. Yang*, Y. Liang, X. Guo, L. Wu, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Pruning Before Training May Improve Generalization, Provably”</b><br> Journal of Machine Learning Research (JMLR), 2024. <a href="">[Paper]</a> <a href="">[Code]</a></li>
                             <li> H. Yang*, Z. Jiang*, R. Zhang, Y. Liang, and Z. Wang<br> <b style="color:rgb(71, 71, 71)">“Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK”</b><br> Journal of Machine Learning Research (JMLR), 2024. <a href="">[Paper]</a> <a href="">[Code]</a></li>
                             <li> G. Holste*, M. Lin, R. Zhou, F. Wang, L. Liu, Q. Yan, S. Tassel, K. Kovacs, E. Chew, Z. Lu, Z. Wang, and Y. Peng<br> <b style="color:rgb(71, 71, 71)">“Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling”</b><br>npj Digital Medicine, 2024. <a href="https://arxiv.org/abs/2405.08780">[Paper]</a> <a href="">[Code]</a></li>
                             <li> G. Holste*, Y. Zhou, S. Wang, A. Jaiswal, M. Lin, S. Zhuge, Y. Yang, D. Kim, T. Nguyen-Mau, M. Tran, J. Jeong, W. Park, J. Ryu, F. Hong, A. Verma, Y. Yamagishi, C. Kim, H. Seo, M. Kang, L. Celi, Z. Lu, R. Summers, G. Shih, Z. Wang, and Y. Peng<br> <b style="color:rgb(71, 71, 71)">“Towards Long-tailed, Multi-label Disease Classification from Chest X-ray”</b><br>Medical Image Analysis, 2024. <a href="https://www.sciencedirect.com/science/article/abs/pii/S136184152400149X?CMX_ID=&SIS_ID=&dgcid=STMJ_219742_AUTH_SERV_PA&utm_acid=216299604&utm_campaign=STMJ_219742_AUTH_SERV_PA&utm_in=DM481041&utm_medium=email&utm_source=AC_">[Paper]</a> <a href="https://bionlplab.github.io/2024_MICCAI_CXRLT/">[Code]</a></li>